3 citations · 4 across the 3 of their papers we have counts for
4 papers
Cross-Project Bug Localization: What Works, What Doesn't, and Why
A Eashaan Rao, Sridhar Chimalakonda
Bug localization models require substantial within-project training data that newly active or small open-source projects rarely have. Cross-project learning (CPL) promises to close…
Natural Language to Code Generation in Interactive Data Science Notebooks
Pengcheng Yin, Wen-Ding Li, Kefan Xiao +9
Computational notebooks, such as Jupyter notebooks, are interactive computing environments that are ubiquitous among data scientists to perform data wrangling and analytic tasks. T…
Apples, Oranges & Fruits -- Understanding Similarity of Software Projects Through The Lens of Dissimilar Artifacts
A Eashaan Rao, Sridhar Chimalakonda
The growing availability of open source projects has facilitated developers to reuse existing software artifacts and leverage them to develop new software. However, it is hard to u…
AC2 -- Towards Understanding Architectural Changes in Rapid Releases
A Eashaan Rao, Dheeraj Vagavolu, Sridhar Chimalakonda
Open source projects are adopting faster release cycles that reflect various changes. Therefore, comprehending the effects of these changes on software's architecture over the rele…